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Assortment optimization with product level demand and substitution information

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A learning-based probabilistic tabu search for the uncapacitated single allocation hub location problem

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Mathematical programming formulations for the efficient solution of the k-sum approval voting problem

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Robust optimization : lessons learned from aircraft routing

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Efficient algorithms using subiterative convergence for Kemeny ranking problem

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A modified multi-objective genetic algorithm for two-sided assembly line re-balancing problem of a shovel loader

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Spatial scheduling strategy for irregular curved blocks based on the modified genetic ant colony algorithm (MGACA) in shipbuilding

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Robotic disassembly sequence planning using enhanced discrete bees algorithm in remanufacturing

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A branch-and-bound algortihm for the cell formation problem

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Improved teaching-learning-based and JAYA optimization algorithms for solving flexible flow shop scheduling problems

Buddala, Raviteja; Mahapatra, Siba Sankar - In: Journal of industrial engineering international 14 (2018) 3, pp. 555-570

Flexible flow shop (or a hybrid flow shop) scheduling problem is an extension of classical flow shop scheduling problem. In a simple flow shop configuration, a job having ‘g’ operations is performed on ‘g’ operation centres (stages) with each stage having only one machine. If any stage...

Persistent link: https://www.econbiz.de/10011887964